IDE, terminal or cloud? How to choose development tools for AI agents
How to choose between an AI agent in the IDE, terminal, or cloud, evaluating execution, isolation, permissions, review, and integration into the team workflow.
Blog
How we prepare code for AI agents: context, rules, and test environments
Get the repository ready for AI agents: clear instructions, AGENTS.md, architectural context, test data, and reproducible checks.
Project management with AI agents: from goals to verifiable tasks
Project management with AI agents: objectives, tasks, dependencies, responsibilities, and evidence for deliverable acceptance.
Infrastructure as Code: Work Environments We Can Rebuild
Infrastructure as Code for SMEs: reproducible environments, reviewed changes, and state protection with OpenTofu.
Who holds the project keys? Identities and secrets for applications and agents
Identities for applications and agents, protected secrets, and temporary access: practical steps for a digital project’s infrastructure.
Virtual routers and separate networks: how to limit the impact of an incident
Virtual routers, VLANs, and firewalls: how we separate applications, data, administration, and agents in a network with controlled access.
Virtual machines, containers, or Kubernetes: how much infrastructure do we need?
Virtual machines, containers, and Kubernetes explained with a practical example, including criteria for isolation, operation, and scaling.
On-premises, cloud, or hybrid? Where do we build the next project?
On-prem, cloud or hybrid? Practical criteria for placing your application, data, and AI components, with explicit responsibilities and costs.
The 90-day adoption plan: from first pilot to a measurable agentic system
A practical six-step framework to assess, pilot, and operate an AI agent in a controlled manner, with KPIs, decision gates, governance, and stopping criteria.
How much is an AI agent worth: total cost, KPIs, and return on investment
Guide for SMEs: the total cost of an AI agent, six KPIs, real savings, and a sample ROI with three scenarios and investment payback.
When the agent buys for us: budgets, payments, and autonomy limits
Practical guide for SMEs on purchases through AI agents: budgets, approvals, payments, autonomy limits, risks, and the steps of a controlled pilot.
Where do we start: seven processes suitable for AI agents in an SME
Seven processes for AI agents in an SME, from requests and documents to catalog, logistics, and reports. What we delegate, what we check, and how we test.